Search Results

The network is becoming the development focus for the in-vehicle electronic system. Network buses are used to improve communication between ECUs and to reduce the wiring costs. In-vehicle network buses, such as CAN, LIN, FlexRay, have become the central technique for sharing sensor data among vehicle ECUs. Gateways are a critical factor in vehicle network design with applications requiring the use of several networking standards. There are lots of networking protocols to choose from - each with advantages and disadvantages. No one protocol satisfies the requirements of all automotive applications. There is a need to consolidate data from these networks using de-centralized processing. As such, a gateway is used as a central hub to interconnect and process data from a vehicle's embedded networks. A gateway is composed of several automotive networking interfaces such as CAN, LIN and FlexRay in addition to embedded micro-controllers and peripheral functions.

This paper proposes a solution to the challenge of developing vehicle software application functions which are decoupled from their intended target hardware platforms. Once developed, these software application functions can be utilised across any OEM vehicle platform and vehicle variants, saving the supplier time and money in terms of system development and giving a number of OEMs similar tried-and-tested system application software. The proposed solution is to use the Model Driven Architecture (MDA)1, a UML-based development approach that separates the specification of system functionality from the specification of the implementation of that functionality on a specific technology platform. MDA allows a vehicle function to be modelled in a semantically rich UML [1,2] model which is completely independent of any implementation detail.

ODX (Open Diagnostics data eXchange) is a standard diagnostic data format specified by the European ASAM group, to simplify the exchange of vehicle diagnostic data between manufacturers, suppliers and service dealerships. The ODX database contains diagnostic data for the whole vehicle together with details of all vehicle ECUs. This paper gives an overview of the main categories of data contained in the ODX diagnostic database. A Windows-based diagnostic application was developed to execute ISO 15765 diagnostic services on ECUs, using an ODX database to define the allowed services and parameters for each ECU. The paper describes the structure of the diagnostic application and the steps that were necessary to process the ODX and tailor it to a production ECU.

The development of vehicle control systems has evolved to become an exercise in the design and integration of complex, distributed hardware and software components. The various components are typically developed by geographically dispersed, multicultural teams from both OEMs and suppliers. This paper gives a brief overview of using the Unified Modelling Language (UML) as a means of capturing the requirements of real-time distributed systems in a graphical notation shared by all team members. UML is commonly used to model system concepts, albeit typically as system “sketches” without any formal definition of the model's semantics. This paper specifically addresses the additions to the latest version of UML that supports higher levels of abstraction, model-based development, executable models and the specification of non-functional requirements.

This paper looks into the use of simulation software to develop and maintain diagnostic systems on Car networks. It is done through automatic code generation, while also taking advantage of the Real-time benefits of Simulation software. It will concentrate on the Key Word Protocol (KWP 2000) functioning along a CAN-BUS network as a means to illustrate the benefits of the design of such software. The paper will show the development of such software in its separate areas. Each area complies with the relevant ISO standards of Communication at the various ISO layers. It will also show how this is integrated with the external changeable data, using the SIMULINK Simulation software. This will be linked with Microsoft's Excel spreadsheet, allowing the separation of data from the application. Diagnostic code is then automatically generated. This code can be added automatically to an ECU to give it diagnostic functionality. This diagnostic design is easy to use and adaptable to existing models.

A modern automobile is becoming far more complex with the release of each new model. Complexity arises in the form of new mechanical devices, electronic devices and nowadays software components. With this increase in complexity, the job of diagnosing a fault is becoming increasingly difficult, as the service technician now requires detailed knowledge in a range of disciplines. This paper describes an Intelligent Diagnostic System (IDS) that was developed to intelligently diagnose faults in a multi-ECU (Electronic Control Unit) environment. Intelligence is achieved by diagnosing several faults while always attempting to isolate a “core” faulty component instead of simply returning a series of faults.

A Power Management System is currently being researched and developed at the Centre for Automotive Research based at Waterford Institute of Technology, Ireland, to monitor, control and reduce the electronic power consumption of the 12/14V and 36/42V systems in modern and future vehicles. Over the last 40 years the growth in electronic power consumption in vehicles has risen due to customers' demands for built-in safety features such as Air Bags, ABS and Traction Control, and also comfort and convenience features such as Air Conditioning, Heated Seats and Navigation Systems. Now the introduction of new electronic systems such as X-By-Wire, stricter regulations for fuel emissions, as well as an increased demand for fuel economy, are stretching the capabilities of the current electrical system. Automotive manufacturers are trying to solve this problem in several ways, such as the introduction of 36/42V systems, the introduction of new power sources and the use of MOSFETs.

The Centre for Automotive Research WIT is developing a methodology and tool for optimally distributing OSEK Tasks throughout In-Vehicle Networks. This distribution methodology automates the OSEK Task - ECU allocation process, generating optimal solutions for the network, maximizing the number of OSEK Tasks per ECU and therefore allowing for either more complex functionality for the same ECU network or a reduction in the number of ECUs on the network. Overall, this should reduce development time and help save vehicle weight and costs.